Title :
A high speed super resolution DOA algorithm
Author :
Kusmanoff, Antone ; Yarlagadda, Rao
Author_Institution :
Southwest Res. Inst., San Antonio, TX, USA
Abstract :
A DOA (direction of arrival) peaking function which uses only the maximum signal and the minimum noise eigenvectors of the sample covariance matrix is presented. The fast algorithm developed is based on the power method of eigendecomposition. This allows for a unique procedure for estimating the number of arriving wavefronts. Simulation results obtained with the algorithm are provided
Keywords :
eigenvalues and eigenfunctions; estimation theory; matrix algebra; signal detection; arriving wavefronts; direction of arrival; eigenvectors; maximum signal; minimum noise; peaking function; power method; sample covariance matrix; super resolution DOA algorithm; Antenna arrays; Contracts; Convergence; Covariance matrix; Direction of arrival estimation; Eigenvalues and eigenfunctions; Equations; Geometry; Multiple signal classification; Signal resolution;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
DOI :
10.1109/ICASSP.1990.116225
